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Section #3. Designing for (and adhering to) security and rules

This section assesses the examinee’s knowledge of the concepts like separation of duties, IAM (Identity & access management), resource hierarchy, data security, key security controls, handling customer-managed encryption, remote access, and compliance designing. Legislation, industry certification, and auditing skills are also well covered in this section.

Google Professional-Cloud-Architect Exam Syllabus Topics:

TopicDetails
Topic 1
  • Designing for Security and Compliance
  • Resource Hierarchy (organizations, folders, projects)
  • Managing Customer-Supplied Encryption Keys with Cloud KMS
Topic 2
  • Managing and Provisioning Solution Infrastructure
  • Configuring Network Topologies, Extending to on-Premise|Extending to a Multi-Cloud Environment Which May Include GCP to GCP Communication
  • Configuring Individual Storage Systems
Topic 3
  • Creating a Migration Plan (i.e., documents and architectural diagrams)
  • Integrating Solution with Existing Systems
Topic 4
  • Cloud Native Networking (VPC, Peering, Firewalls, Container Networking)
  • Identification of Data Processing Pipeline
Topic 5
  • Analyzing and Pptimizing Technical and Business Processes
  • Analyzing and Defining Technical Processes, Software Development Lifecycle Plan

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Google Professional Cloud Architect Prerequisites

There are no official prerequisites for taking the Professional Cloud Architect exam, except passing a single qualifying exam. However, it is recommended that the candidates have about three years of practical experience, including one year of designing and managing solutions with the help of Google Cloud Platform.

Google Certified Professional - Cloud Architect (GCP) Sample Questions (Q206-Q211):

NEW QUESTION # 206
Your company has successfully migrated to the cloud and wants to analyze their data stream to optimize operations. They do not have any existing code for this analysis, so they are exploring all their options.
These options include a mix of batch and stream processing, as they are running some hourly jobs and live-processing some data as it comes in. Which technology should they use for this?

  • A. Google Container Engine with Bigtable
  • B. Google Cloud Dataproc
  • C. Google Cloud Dataflow
  • D. Google Compute Engine with Google BigQuery

Answer: C

Explanation:
Dataflow is for processing both the Batch and Stream.


NEW QUESTION # 207
A lead engineer wrote a custom tool that deploys virtual machines in the legacy data center. He wants to migrate the custom tool to the new cloud environment. You want to advocate for the adoption of Google Cloud Deployment Manager.
What are two business risks of migrating to Cloud Deployment Manager? (Choose two.)

  • A. Cloud Deployment Manager uses Python
  • B. Cloud Deployment Manager only supports automation of Google Cloud resources
  • C. Cloud Deployment Manager can be used to permanently delete cloud resources
  • D. Cloud Deployment Manager is unfamiliar to the company's engineers
  • E. Cloud Deployment Manager APIs could be deprecated in the future
  • F. Cloud Deployment Manager requires a Google APIs service account to run

Answer: B,E

Explanation:
Explanation/Reference:


NEW QUESTION # 208
You need to deploy an application to Google Cloud. The application receives traffic via TCP and reads and writes data to the filesystem. The application does not support horizontal scaling. The application process requires full control over the data on the file system because concurrent access causes corruption. The business is willing to accept a downtime when an incident occurs, but the application must be available 24/7 to support their business operations. You need to design the architecture of this application on Google Cloud.
What should you do?

  • A. Use an unmanaged instance group with an active and standby instance in different zones, use a regional persistent disk, and use a network load balancer in front of the instances.
  • B. Use a managed instance group with instances in multiple zones, use Cloud Filestore, and use a network load balancer in front of the instances.
  • C. Use an unmanaged instance group with an active and standby instance in different zones, use a regional persistent disk, and use an HTTP load balancer in front of the instances.
  • D. Use a managed instance group with instances in multiple zones, use Cloud Filestore, and use an HTTP load balancer in front of the instances.

Answer: A


NEW QUESTION # 209
You are creating an App Engine application that uses Cloud Datastore as its persistence layer. You need to retrieve several root entities for which you have the identifiers. You want to minimize the overhead in operations performed by Cloud Datastore. What should you do?

  • A. Use the identifiers to create a query filter and run a batch query operation
  • B. Use the identifiers to create a query filter and run multiple query operations, one operation for each entity
  • C. Create the Key object for each Entity and run a batch get operation
  • D. Create the Key object for each Entity and run multiple get operations, one operation for each entity

Answer: A

Explanation:
Reference:
https://cloud.google.com/datastore/docs/concepts/entities#datastore-datastore-batch-upsert-nodejs


NEW QUESTION # 210
Dress4win has end to end tests covering 100% of their endpoints.
They want to ensure that the move of cloud does not introduce any new bugs.
Which additional testing methods should the developers employ to prevent an outage?

  • A. They should enable google stack driver debugger on the application code to show errors in the code
  • B. They should run the end to end tests in the cloud staging environment to determine if the code is working as intended.
  • C. They should add canary tests so developers can measure how much of an impact the new release causes to latency
  • D. They should add additional unit tests and production scale load tests on their cloud staging environment.

Answer: A


NEW QUESTION # 211
......

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